EL1 Lead Data Analyst

Softtest pays pty ltd; Sydney; Sur place; AUD 90 000 - 130 000; Plein temps

Résumé du poste

Softtest pays pty ltd in Sydney, Australia seeks an EL1 Data Analyst to provide specialist data analysis, data discovery and data delivery support for ICT programs.

You will work with business owners, data engineers and testers across the data lifecycle, translating business needs into data requirements, mappings and rules.

Collaborate on data pipelines, profiling, validation and dashboards; deliver clear outputs to both technical and non-technical stakeholders.

Responsabilités

• Lead data discovery and profiling across complex internal and external datasets to understand structure, content, quality and lineage.
• Identify required data with stakeholders; clarify business meaning; define data requirements and data contracts.
• Develop and maintain source-to-target mappings, data dictionaries, field definitions and transformation rules.
• Analyse data using SQL to identify duplicates, outliers, nulls and data quality concerns.
• Propose cleansing, standardising and transforming options; plan loads and refresh processes.
• Translate mappings and business rules into implementable ingestion and transformation logic with proper traceability.
• Support data pipelines, bulk ingestion, system integrations and data refreshes across environments.
• Create reusable datasets, SQL queries, analytical code and notebooks enabling profiling and testing.
• Validate data against mappings and contracts; investigate failed loads and defects.
• Work with testers to develop test scenarios and ensure traceability from requirements.

Description du poste

Australian Citizens residing in Australia only respond.

Job details

Role/s: 1 x EL1 Data Analyst

The EL1 Data Analyst (Labour Hire) provides specialist data analysis, data discovery and data delivery support for complex ICT programs, projects and digital services.

Working in multidisciplinary delivery teams, the role examines complex data from internal and external sources, defines how data should be interpreted and used, and translates business needs into clear data requirements, mappings, rules and analytical outputs.

The role works closely with business owners, data engineers, business analysts, architects, developers, testers and technical specialists across the end-to-end data lifecycle, from source discovery and profiling through to ingestion, validation, reconciliation, reporting and production support.

Key duties and responsibilities

• Lead data discovery and profiling across complex internal and external datasets to understand their structure, content, quality, lineage, relationships, constraints, sensitivity and fitness for purpose.
• Work with business and technical stakeholders to identify required data, clarify its business meaning, define the intended use and translate business outcomes into detailed data requirements and agreed data contracts.
• Develop and maintain source-to-target mappings, data dictionaries, field definitions, data contracts, transformation rules, join logic, filtering rules, matching logic and other implementation-ready data specifications.
• Analyse data using SQL and relevant analytics tools to identify duplicates, outliers, nulls, invalid values, inconsistent formats, referential issues and other data quality concerns.
• Define practical options for cleansing, standardising, transforming, matching, de-duplicating and reconciling data, including exception handling, rejected records, historical data, initial loads, incremental loads and refresh processes.
• Collaborate with data engineers and developers to translate approved mappings, data contracts and business rules into implementable ingestion, integration, migration and transformation logic, while maintaining clear end-to-end traceability.
• Support the design and delivery of data pipelines, bulk ingestion processes, system integrations, migrations and data refreshes across cloud and on-premises environments by clarifying requirements, resolving data questions and reviewing technical outcomes.
• Develop or prepare reusable datasets, SQL queries, analytical code, scripts, notebooks and supporting artefacts that enable profiling, transformation, reconciliation, testing and controlled implementation.
• Validate source and target data against approved mappings and data contracts, reconcile counts and key measures, investigate failed or incomplete loads, and support resolution of defects, exceptions and production data issues.
• Work with testers and business representatives to develop test scenarios, expected results and traceability from approved data requirements and mapping rules.
• Produce clear analysis, dashboards, reports, visualisations and written advice for both technical and non-technical audiences where required by the program or project.
• Identify and communicate data risks, assumptions, dependencies, limitations and gaps early, and provide evidence-based options and recommendations to delivery teams and senior stakeholders.
• Apply relevant data governance, privacy, security, records management and information handling requirements throughout analytical and delivery activities.
• Contribute to continuous improvement of data standards, documentation, reusable methods, quality controls and ways of working across data and digital delivery teams.

(NOTE: the key responsibilities of the role are based on current priorities and may change over time)